Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2012_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2012_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2012_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2012_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0306bd011d893c09b273133ee431baeff5faeb06f04d7058b3a3c5f9cac5ef5a
- Size of remote file:
- 185 MB
- SHA256:
- 3f5d71b44c31a3695adca8ed45d9ef0f4df1583539bf44690ec15ddffee566c5
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